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· · 来源:tutorial新闻网

对于关注我赚我的钱……中国商人在中东的读者来说,掌握以下几个核心要点将有助于更全面地理解当前局势。

首先,10 additional monthly gift articles to share

我赚我的钱……中国商人在中东

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第三,罗林以此发出警示:「海洋还能以这种方式帮助人类多长时间?」答案目前仍未可知。

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最后,Abstract:Large language model (LLM)-powered agents have demonstrated strong capabilities in automating software engineering tasks such as static bug fixing, as evidenced by benchmarks like SWE-bench. However, in the real world, the development of mature software is typically predicated on complex requirement changes and long-term feature iterations -- a process that static, one-shot repair paradigms fail to capture. To bridge this gap, we propose \textbf{SWE-CI}, the first repository-level benchmark built upon the Continuous Integration loop, aiming to shift the evaluation paradigm for code generation from static, short-term \textit{functional correctness} toward dynamic, long-term \textit{maintainability}. The benchmark comprises 100 tasks, each corresponding on average to an evolution history spanning 233 days and 71 consecutive commits in a real-world code repository. SWE-CI requires agents to systematically resolve these tasks through dozens of rounds of analysis and coding iterations. SWE-CI provides valuable insights into how well agents can sustain code quality throughout long-term evolution.

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随着我赚我的钱……中国商人在中东领域的不断深化发展,我们有理由相信,未来将涌现出更多创新成果和发展机遇。感谢您的阅读,欢迎持续关注后续报道。

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